Any help would be appreciated!

In the case of A clustering, each instance is assigned to a single cluster. In the case of A clustering, each instance is given a score per cluster. Question 28 (1 point) The following model actually runs 10 different K-Means clustering models and picks the best one as the final model. kmeans_iter 1= kMeans(n_clusters=5, init="random", n_init=1, algorithm="full", max_iter=1, random_state=1) True False Question 29 (1 point) The A K-Means algorithm improves the traditional K-Means algorithm by avoiding unnecessary distance calculations. Question 30 (1 point) Suppose there was an image of fruits and vegetables covering a table. If you wanted to segment each individual grape separately in the entire image, then you would use A segmentation. Question 31 (1 point) Suppose there was an image of fruits and vegetables covering a table. If you wanted to segment all of the grapes in the entire image at once, then you would use A segmentation